Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

The statistical literature and folklore contain many methods for handling missing explanatory variable data in multiple linear regression. One such approach is to incorporate into the regression model ...

Using Linear Regression Because much economic data has cycles, multiple trends and non-linearity, simple linear regression is often inappropriate for time-series work, according to Yale University.

Ronald D. Armstrong, David S. Kung, Algorithm AS 135: Min-Max Estimates for a Linear Multiple Regression Problem, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 28, No.

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.